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Ιδρυματικό Αποθετήριο [SANDBOX]
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
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EL
| URI: | http://purl.tuc.gr/dl/dias/C8292A00-F3E3-46C1-A4B5-79E358B370CA | ||
| Έτος | 2016 | ||
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | ||
| Άδεια Χρήσης |
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| Βιβλιογραφική Αναφορά | K. Makantasis, E. Protopapadakis, A. Doulamis and N. Matsatsinis, "Semi-supervised vision-based maritime surveillance system using fused visual attention maps," Multimed. Tools Appl., vol. 75, no. 22, pp. 15051-15078, Nov. 2016. doi: 10.1007/s11042-015-2512-x https://doi.org/10.1007/s11042-015-2512-x | ||
| Εμφανίζεται στις Συλλογές |
This paper presents a vision-based system for maritime surveillance, using moving PTZ cameras. The proposed methodology fuses a visual attention method that exploits low-level image features appropriately selected for maritime environment, with appropriate tracker, without making any assumptions about environmental or visual conditions. The offline initialization is based on large graph semi-supervised technique. System’s performance was evaluated with videos from cameras placed at Limassol port and Venetian port of Chania. Results suggest high detection ability, despite dynamically changing visual conditions and different kinds of vessels, all in real time.
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